In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
In this paper we propose a set of development guidelines for an adaptive authoring environment of adaptive educational hypermedia. This set consists of relevant and necessary funct...
The tutor tries, by using feedbacks, to keep the learner’s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor’s feedbac...